Optimal Control for Unmanned Systems With One-Way Broadcast Communication

Unmanned systems (USs) including unmanned aerial vehicles, underwater and ground vehicles have great application prospects in military civil fields, among which the process of finding feasible optimal paths for agents USs is a kernel problem. Traditional path algorithms are hard to adequately obtain real-time under fast time-varying poor communication environments. We propose an online control algorithm based on one-way broadcast mode assumption environment, mobile targets, radars (or sonar), missiles torpedoes). With principle receding horizon control, suboptimal) then generated by approximation theory neural networks gradient optimization techniques, with low computation requirements. Also, we give convergence analysis our algorithm, show that each agent can reach its target finite time some conditions agents, targets radar-missiles. Moreover, simulations demonstrate generate real using while effectively avoiding collision other or detection enemy radars.